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Greatest papers with code

RLCard: A Toolkit for Reinforcement Learning in Card Games

10 Oct 2019datamllab/rlcard

The goal of RLCard is to bridge reinforcement learning and imperfect information games, and push forward the research of reinforcement learning in domains with multiple agents, large state and action space, and sparse reward.

BOARD GAMES GAME OF POKER MULTI-AGENT REINFORCEMENT LEARNING

Obstacle Tower: A Generalization Challenge in Vision, Control, and Planning

4 Feb 2019Unity-Technologies/obstacle-tower-env

Unlike other benchmarks such as the Arcade Learning Environment, evaluation of agent performance in Obstacle Tower is based on an agent's ability to perform well on unseen instances of the environment.

ATARI GAMES BOARD GAMES

Deep Learning for General Game Playing with Ludii and Polygames

23 Jan 2021facebookincubator/Polygames

Combinations of Monte-Carlo tree search and Deep Neural Networks, trained through self-play, have produced state-of-the-art results for automated game-playing in many board games.

BOARD GAMES

Move Evaluation in Go Using Deep Convolutional Neural Networks

20 Dec 2014jmgilmer/GoCNN

The game of Go is more challenging than other board games, due to the difficulty of constructing a position or move evaluation function.

GAME OF GO

Learning to play the Chess Variant Crazyhouse above World Champion Level with Deep Neural Networks and Human Data

19 Aug 2019QueensGambit/CrazyAra

Crazyhouse is a game with a higher branching factor than chess and there is only limited data of lower quality available compared to AlphaGo.

BOARD GAMES

Learning to Shoot in First Person Shooter Games by Stabilizing Actions and Clustering Rewards for Reinforcement Learning

13 Jun 2018lucylow/b00m-h3adsh0t

While reinforcement learning (RL) has been applied to turn-based board games for many years, more complex games involving decision-making in real-time are beginning to receive more attention.

BOARD GAMES DECISION MAKING

The Text-Based Adventure AI Competition

3 Aug 2018Microsoft/nail_agent

In 2016, 2017, and 2018 at the IEEE Conference on Computational Intelligence in Games, the authors of this paper ran a competition for agents that can play classic text-based adventure games.

BOARD GAMES NATURAL LANGUAGE UNDERSTANDING

Fever Basketball: A Complex, Flexible, and Asynchronized Sports Game Environment for Multi-agent Reinforcement Learning

6 Dec 2020FuxiRL/FeverBasketball

We introduce the Fever Basketball game, a novel reinforcement learning environment where agents are trained to play basketball game.

BOARD GAMES MULTI-AGENT REINFORCEMENT LEARNING

Manipulating the Distributions of Experience used for Self-Play Learning in Expert Iteration

30 May 2020Ludeme/LudiiAI

ExIt involves training a policy to mimic the search behaviour of a tree search algorithm - such as Monte-Carlo tree search - and using the trained policy to guide it.

BOARD GAMES

Biasing MCTS with Features for General Games

21 Mar 2019Ludeme/LudiiAI

This paper proposes using a linear function approximator, rather than a deep neural network (DNN), to bias a Monte Carlo tree search (MCTS) player for general games.

BOARD GAMES